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How Influencer Agencies Are Using Data to Predict Viral Potential
Lucas and Luna explore the rise of predictive data analytics in influencer marketing. They dive into how agencies like CreatorIQ and HypeAuditor use machine learning to forecast which creators will break out before they go viral. The hosts examine a real case: how a skincare brand used predictive scoring to discover a then-unknown creator who drove a 300 percent return on ad spend within three months. They discuss the ethical questions around algorithmic gatekeeping and whether data can truly capture creative magic. This episode offers a concrete look at a shift that is quietly reshaping how…
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